TradeGrub Charts
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Updated: August 2026

A VectorBT alternative that runs in the browser

VectorBT is fast and vectorised, and it is a library: you bring the Python environment, the data, the charting, and the execution layer yourself. TradeGrub runs the same class of backtest with all four already attached.

268
Features Compared
28
Platforms
306
Indicators
87
Drawing Tools
15+
Broker Integrations
80+
Crypto Exchanges
Free
No Ads, No Gates
$5.99
Pro Per Month

Pricing Comparison

Published list pricing at the time of the last review. Verify before purchasing.

Platform Free Tier Paid Tiers Ads on Free Feature Gates
TradeGrub Yes (full access) Pro $5.99/mo ($4.99 yearly) None None
TradingView Yes (limited) $14.95 – $239.95/mo × Yes × Heavy
thinkorswim Yes (with Schwab account) Free (brokerage account required) None Minimal
Yahoo Finance Yes (ads, limited) Gold $39.95 – $49.95/mo × Yes × Heavy
Finviz Yes (delayed) $39.50/mo × Yes × Heavy
StockCharts No (trial only) $24.95 – $59.95/mo × × All paid
Bloomberg Terminal No ~$2,500/mo (~$30k/yr per seat) None All included
eSignal No (trial only) $58 – $359/mo + exchange fees × × Tiered
Koyfin Yes (limited) $39 – $109/mo None × Heavy
Sentieo (AlphaSense) No ~$500+/mo per seat None × Tiered
FactSet No ~$12,000+/yr per seat None × Modular
YCharts No (trial only) $300 – $600/mo × × Tiered

Backtesting Engine Comparison

62 capabilities across 9 categories, against a different field: dedicated backtesting frameworks and cloud quant platforms rather than charting products. Only TradingView appears in both tables.

Feature TradeGrubVectorBT
Order Types
Market orders
Limit orders
Stop orders
Stop-limit orders
Trailing stop
Bracket / OCO orders ×
Position Management
Long & short
Long-only mode
Pyramiding / scaling in
Multiple concurrent positions ×
Partial fills / scaling out
Open position tracking (unrealized)
Position Sizing & Risk
Fixed % of equity
Kelly criterion sizing
Volatility-target sizing
Risk parity
Max loss % cap
Margin / leverage model
Cost Models
Flat commission
Slippage (bps)
Percentage-based commission
Spread / market-impact model
Data & Multi-Asset
Daily bars
Intraday (1m-4h)
Tick-level data ×
Multi-asset portfolio ×
Multi-timeframe
Deep history (15k+ bars)
Long-Range M1 Backtesting (multi-year intraday) × ×
Metrics & Analytics
Sharpe / Sortino / Calmar
MAE / MFE per trade
Monte Carlo simulation
Walk-forward analysis
Walk-forward matrix (cluster analysis) × ×
Regime detection P
Strategy DNA / confidence score ×
Stress scenarios P
VaR / CVaR
Benchmark alpha / beta / IR
Monthly P&L heatmap
Optimization
Grid / exhaustive search
Genetic / Bayesian optimizer
Automated strategy generation (genetic programming) × ×
Fragility heatmap ×
Visualization & UX
Equity curve overlay on chart P
Trade markers on price chart P
Interactive trade replay ×
No-code GUI configuration ×
"What-If" trade editor ×
Decision journal ×
Trade duration analysis
Day / hour-of-week P&L breakdown ×
Cumulative P&L + drawdown charts
Long / short trade split
Trade CSV export
Shareable backtest snapshots × ×
Free backtesting
Zero-install (browser-based) ×
Execution & Live Trading
Live trading bridge P ×
Strategy source export (MT4/MT5/cTrader/TradeStation) × ×
Alerts / webhooks from signals ×
WebWorker-based execution ×
Supported
Paid only
Not supported

VectorBT, Backtrader, Zipline, and Bt are free and open source, but they are libraries rather than products: they require Python and self-hosting, and none of them ship a chart. TradeGrub runs the same class of backtest in the browser.

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The short version

Of 62 capabilities compared, TradeGrub and VectorBT both cover 38. TradeGrub adds 11 that VectorBT does not, and includes 4 that VectorBT reserves for a paid tier. VectorBT covers 3 that TradeGrub does not.

What you gain

bracket / oco orders, strategy dna / confidence score, fragility heatmap, interactive trade replay, no-code gui configuration, "what-if" trade editor, decision journal, day / hour-of-week p&l breakdown, zero-install (browser-based) and alerts / webhooks from signals, and 1 more.

Included here, paid there

regime detection, stress scenarios, equity curve overlay on chart and trade markers on price chart.

What you give up

multiple concurrent positions, tick-level data and multi-asset portfolio. These are the honest reasons to stay on VectorBT; several are on the roadmap below.

Also compared

This page covers the comparison VectorBT competes in. Separate tables compare 177 charting and trading capabilities and 29 trading platform capabilities across different fields of platforms.

See the charting and trading comparison →See the trading platform comparison →

Compare Against Another Platform

Every link below shows this same comparison, filtered to that platform.

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Common Questions

Do I need to install Python to backtest?

No. The backtester runs in the browser with nothing to install and no environment to maintain. Strategies can be written in Python, in a Pine-compatible dialect, or built with no code at all in the visual strategy builder.

What about vectorised speed?

Large parameter sweeps are where a vectorised engine earns its reputation. TradeGrub runs sweeps and a genetic optimizer in Web Workers, which is fast enough for typical grids but will not match a tuned numpy pipeline on a very large machine. If your workflow is millions of parameter combinations, keep the library.

Can I still write Python?

Yes. Strategies can be written in Python in the browser with the scientific stack available, so pandas and scikit-learn logic ports over directly.

Is TradeGrub Charts really free?

Yes. The free tier includes all 306 indicators, 87 drawing tools, 96 pattern detectors, unlimited alerts, and backtesting, with no ads and no per-chart indicator caps. Pro at $5.99 per month, or $4.99 billed yearly, adds the TradeGrub data feed, cloud sync, and server-side alert evaluation.

How current is this comparison?

Feature counts for TradeGrub are read directly from the product registries rather than from marketing copy. Competitor rows reflect publicly documented capabilities and published pricing at the time of the last review, and pricing in particular changes often, so treat the other columns as a starting point and verify anything you are about to make a purchase decision on.

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